403 Open source projects that are alternatives of or similar to Waveglow_inference_in_cuda

CUDA integration for Python, plus shiny features

Deep Learning library using GPU(CUDA/cuBLAS)

PyTorch bindinga for Baidu's Warp-CTC

A C++ Cuda Tensor Lazy Computing Library

Flattened convolutional neural networks (1D convolution modules for Torch nn)

Weighted Softmax Loss Layer for Caffe

Collection of Docker images for ML/DL and video processing projects

DaCe - Data Centric Parallel Programming

Concurrent CPU-GPU Programming using Task Models

ThunderSVM: A Fast SVM Library on GPUs and CPUs

NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

STREAM, for lots of devices written in many programming models

点云深度学习框架 | Point cloud Deep learning Framework

A community run, 5-day PyTorch Deep Learning Bootcamp

deformable_conv2d layer implemented in pytorch

Fast CUDA Kernels for ResNet Inference.

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

pytorch knn [cuda version]

Introduction to Parallel Programming class code

Extension package for spatial propagation network in pytorch.

Tutorial for using Singularity containers

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

Deep.Net machine learning framework for F#

Torch7 bindings for cuda-convnet2 kernels!

A CUDA Extension of Neural Network Libraries

How fast can we brute force a 64-bit comparison?

CUDA-Warp RNN-Transducer

N body gravity attraction problem solver

Some CUDA design patterns and a bit of template magic for CUDA

Physically based renderer and simulation engine for real-time applications.

Extending JAX with custom C++ and CUDA code

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Julia wrapper for CUDA runtime API

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version

Deformable ConvNets V2 (DCNv2) in PyTorch

An extensible HPC framework for CUDA, OpenCL and native CPU.

Experiments with CUDA and Rust

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

Utilities for CUDA programming

The source code of ECCV16 'Deep Joint Image Filtering'.

DES cracking using brute force algorithm and CUDA

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

Image recognition and classification using Convolutional Neural Networks with TensorFlow

GPU database engine

A CUDA project for Molecular Dynamics, Brownian Dynamics, Hydrodynamics... intended to simulate a very generic system constructing a simulation with modules.

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

Bregman ADMM for mass transportation on GPU

AutoDock for GPUs and other accelerators

Slides and demo code for past presentations

💥💻💥 A data-parallel functional programming language

A Julia wrapper for the CUDA driver API.

Fully Convolutional Instance-aware Semantic Segmentation

oneAPI Math Kernel Library (oneMKL) Interfaces

Stream Processing with OCaml

CUDA Homomorphic Encryption Library

Real-time dense visual SLAM system

CUDA Templates for Linear Algebra Subroutines